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STAT 381. Applied Statistical Methods I. 3 hours.

Graphical and tabular representation of data; Introduction to probability, random variables, sampling distributions, estimation, confidence intervals, and tests of hypotheses. Includes SAS and SPSSX applications. Course Information: Prerequisite(s): Grade of C or better in Math 181.

MS in Statistics

Graduate Catalog

The program provides diverse opportunities for advanced study and research in the main areas of applied and theoretical statistics, as well as careers in statistics and data science. Students will gain expertise in areas such as, statistical inference, design of experiment, machine learning, statistical computing, stochastic processes, and practical experience in data analysis and statistical consulting.